Survey Smackdown

Survey Smackdown

University

12 Qs

quiz-placeholder

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Survey Smackdown

Survey Smackdown

Assessment

Quiz

Social Studies

University

Hard

Created by

Bhavini Kapoor

Used 1+ times

FREE Resource

12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Priyanshi is opening a new café and wants to know what kind of coffee people prefer. She can’t ask everyone in the city (because… well, time is money!). What should she do?

Give free coffee to only her friends and decide based on that

Ask every single person in the city—because she has unlimited patience

Take a sample of 500 coffee lovers from different areas and analyze their preferences

Guess based on what she personally likes

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

A research company claims that 90% of people love pineapple on pizza, but they only surveyed 10 people—all from a pineapple farm. What kind of error is this?

Non-sampling error

Sampling error

Pizza Error

Randomized Control Bias

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the main purpose of sample design in a survey?

to reduce the number of questions

To avoid data collection

To select a representative group from the population

To avoid analysis

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the first step in designing a sample?

Data analysis

Questionnaire preparation

Defining the target population

Calculating average response

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following is a non-sampling error?

Selecting a small group from the population

Selecting a biased sample

Making a mistake while typing data into the computer

Selecting a random sample from the population

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following is an example of sampling error?

Asking only boys about school rules

A student writing wrong age

A survey question is confusing

Forgetting to enter data in the computer

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Sampling error is caused by?

Not responding to questions

Collecting information from a sample instead of the whole population

Giving wrong answers on purpose

Wrong data typing

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